TY - JOUR
T1 - A novel online calculator to predict risk of microvascular invasion in the preoperative setting for hepatocellular carcinoma patients undergoing curative-intent surgery
AU - Endo, Yutaka
AU - Alaimo, Laura
AU - Lima, Henrique A.
AU - Moazzam, Zorays
AU - Ratti, Francesca
AU - Marques, Hugo P.
AU - Soubrane, Olivier
AU - Lam, Vincent
AU - Kitago, Minoru
AU - Poultsides, George A.
AU - Popescu, Irinel
AU - Alexandrescu, Sorin
AU - Martel, Guillaume
AU - Workneh, Aklile
AU - Guglielmi, Alfredo
AU - Hugh, Tom
AU - Aldrighetti, Luca
AU - Endo, Itaru
AU - Pawlik, Timothy M.
PY - 2023/2
Y1 - 2023/2
N2 - Background: The presence of microvascular invasion (MVI) has been highlighted as an important determinant of hepatocellular carcinoma (HCC) prognosis. We sought to build and validate a novel model to predict MVI in the preoperative setting. Methods: Patients who underwent curative-intent surgery for HCC between 2000 and 2020 were identified using a multi-institutional database. Preoperative predictive models for MVI were built, validated, and used to develop a web-based calculator. Results: Among 689 patients, MVI was observed in 323 patients (46.9%). On multivariate analysis in the test cohort, preoperative parameters associated with MVI included α-fetoprotein (AFP; odds ratio [OR] 1.50, 95% confidence interval [CI] 1.23–1.83), imaging tumor burden score (TBS; hazard ratio [HR] 1.11, 95% CI 1.04–1.18), and neutrophil-to-lymphocyte ratio (NLR; OR 1.18, 95% CI 1.03–1.35). An online calculator to predict MVI was developed based on the weighted β-coefficients of these three variables (https://yutaka-endo.shinyapps.io/MVIrisk/). The c-index of the test and validation cohorts was 0.71 and 0.72, respectively. Patients with a high risk of MVI had worse disease-free survival (DFS) and overall survival (OS) compared with low-risk MVI patients (3-year DFS: 33.0% vs. 51.9%, p < 0.001; 5-year OS: 44.2% vs. 64.8%, p < 0.001). DFS was worse among patients who underwent an R1 versus R0 resection among those patients at high risk of MVI (R0 vs. R1 resection: 3-year DFS, 36.3% vs. 16.1%, p = 0.002). In contrast, DFS was comparable among patients at low risk of MVI regardless of margin status (R0 vs. R1 resection: 3-year DFS, 52.9% vs. 47.3%, p = 0.16). Conclusion: Preoperative assessment of MVI using the online tool demonstrated very good accuracy to predict MVI.
AB - Background: The presence of microvascular invasion (MVI) has been highlighted as an important determinant of hepatocellular carcinoma (HCC) prognosis. We sought to build and validate a novel model to predict MVI in the preoperative setting. Methods: Patients who underwent curative-intent surgery for HCC between 2000 and 2020 were identified using a multi-institutional database. Preoperative predictive models for MVI were built, validated, and used to develop a web-based calculator. Results: Among 689 patients, MVI was observed in 323 patients (46.9%). On multivariate analysis in the test cohort, preoperative parameters associated with MVI included α-fetoprotein (AFP; odds ratio [OR] 1.50, 95% confidence interval [CI] 1.23–1.83), imaging tumor burden score (TBS; hazard ratio [HR] 1.11, 95% CI 1.04–1.18), and neutrophil-to-lymphocyte ratio (NLR; OR 1.18, 95% CI 1.03–1.35). An online calculator to predict MVI was developed based on the weighted β-coefficients of these three variables (https://yutaka-endo.shinyapps.io/MVIrisk/). The c-index of the test and validation cohorts was 0.71 and 0.72, respectively. Patients with a high risk of MVI had worse disease-free survival (DFS) and overall survival (OS) compared with low-risk MVI patients (3-year DFS: 33.0% vs. 51.9%, p < 0.001; 5-year OS: 44.2% vs. 64.8%, p < 0.001). DFS was worse among patients who underwent an R1 versus R0 resection among those patients at high risk of MVI (R0 vs. R1 resection: 3-year DFS, 36.3% vs. 16.1%, p = 0.002). In contrast, DFS was comparable among patients at low risk of MVI regardless of margin status (R0 vs. R1 resection: 3-year DFS, 52.9% vs. 47.3%, p = 0.16). Conclusion: Preoperative assessment of MVI using the online tool demonstrated very good accuracy to predict MVI.
UR - http://www.scopus.com/inward/record.url?scp=85137585220&partnerID=8YFLogxK
U2 - 10.1245/s10434-022-12494-0
DO - 10.1245/s10434-022-12494-0
M3 - Article
C2 - 36103014
SN - 1068-9265
VL - 30
SP - 725
EP - 733
JO - Annals of Surgical Oncology
JF - Annals of Surgical Oncology
IS - 2
ER -